This research introduces a VSLAM framework that optimizes obstacle avoidance in indoor logistics, leveraging advanced ...
Chandrayaan-3's Vikram lander successfully performed a hop, revealing new insights into the Moon's surface and soil ...
Researchers have proposed a SENet-CNN-Transformer model for predicting electric vehicle charging duration, aiming to improve ...
Abstract: RGB-T cross-modal crowd counting aims to improve the accuracy and robustness of crowd counting by combining information from visible and thermal infrared images. However, how to effectively ...
To address the issues of feature mismatching and map overlap drift in simultaneous localization and mapping (SLAM) within degraded environments characterized by sparse geometric features or severe ...
1 Business School, University of Shanghai for Science and Technology, Shanghai, China. 2 College of Optoelectronic Information and Computer Engineering, University of Shanghai for Science and ...
Abstract: In this work, we consider the challenging gridless direction-of-arrival (DOA) estimation problem with arbitrary sparse arrays. By utilizing the feature relationship between the received ...
(WAND) - After three rounds of the IHSA football postseason, only a handful of local teams remain with hopes of reaching the state championship. Throughout the playoffs, programs have fought through ...
Efficient Channel Attention-Gated Graph Transformer for Aero-Engine Remaining Useful Life Prediction
The rapid technological progress in recent years has driven industrial systems toward increased automation, intelligence, and precision. Large-scale mechanical systems are widely employed in critical ...
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